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Workshop on Computational Advances in Molecular Epidemiology

Published: 04 September 2019 Publication History

Abstract

Molecular epidemiology is essentially an integrative scientific discipline that considers molecular biological processes in specific epidemiological settings. It relates molecular biological events to etiology, distribution and prevention of disease in human populations. Over years, molecular epidemiology has become extensively fused with mathematical and computational science and immensely benefitted from this tight association. The CAME workshop aims to provide a forum for presentation and discussion of the latest computational research in molecular epidemiology. This multidisciplinary workshop brings together field practitioners of molecular epidemiology, molecular evolutionists, population geneticists, medical researchers, bioinformaticians, statisticians and computer scientists interested in the latest developments in algorithms, mining, visualization, modeling, simulation and other methods of computational, statistical and mathematical analysis of genetic and molecular data in the epidemiological context.
  1. Workshop on Computational Advances in Molecular Epidemiology

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    cover image ACM Conferences
    BCB '19: Proceedings of the 10th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics
    September 2019
    716 pages
    ISBN:9781450366663
    DOI:10.1145/3307339
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 04 September 2019

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    Author Tags

    1. cancer research
    2. computational genomics
    3. immunology
    4. molecular epidemiology
    5. population genetics

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    BCB '19
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    BCB '19 Paper Acceptance Rate 42 of 157 submissions, 27%;
    Overall Acceptance Rate 254 of 885 submissions, 29%

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